🔗 Who cites «TableLlama: Towards Open Large Generalist Models for Tables»

78 papers of our library cite it (of the 149,439 whose bibliographies we read) · 15 with a page here, the most cited first · ← back to «TableLlama: Towards Open Large Generalist Models for Tables»

1. mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document UnderstandingFindings of the Association for Computational LinguisticsAnwen Hu, Haiyang Xu, Jiabo Ye, et al.2024 · 111 citations
2. Multimodal Table UnderstandingAnnual Meeting of the Association for Computational Linguistics (ACL)Mingyu Zheng, Xinwei Feng, Qingyi Si, et al.2024 · 62 citations
3. SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific LiteratureConference on Empirical Methods in Natural Language Processing (EMNLP)David Wadden, Kejian Shi, Jacob Morrison, et al.2025 · 27 citations
4. RoT: Enhancing Table Reasoning with Iterative Row-Wise TraversalsConference on Empirical Methods in Natural Language Processing (EMNLP)Xuanliang Zhang, Dingzirui Wang, Keyan Xu, et al.2025 · 10 citations
5. TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xinyi He, Yihao Liu, Mengyu Zhou, et al.2025 · 8 citations
6. TableEval: A Real-World Benchmark for Complex, Multilingual, and Multi-Structured Table Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Junnan Zhu, Jingyi Wang, Bohan Yu, et al.2025 · 7 citations
7. RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and BenchmarkingFindings of the Association for Computational LinguisticsJiaru Zou, Dongqi Fu, Sirui Chen, et al.2026 · 3 citations
8. Exploring Generative Process Reward Modeling for Semi-Structured Data: A Case Study of Table Question AnsweringConference of the European Chapter of the Association for Computational Linguistics (EACL)Lei Tang, Wei Zhou, Mohsen Mesgar2026 · 2 citations
9. Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and EvaluationAnnual Meeting of the Association for Computational Linguistics (ACL)Wei Zhou, Bolei Ma, Annemarie Friedrich, et al.2026 · 2 citations
10. CoReTab: Improving Multimodal Table Understanding with Code-driven ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Van-Quang Nguyen, Takayuki Okatani2026 · 1 citation
11. CORES: Code-Oriented Reasoning for Complex Text-to-SQL and Generalizable TableQAFindings of the Association for Computational LinguisticsMeng Zhang, Ruochun Jin, Yuanxi Peng, et al.2026
12. Table-R1: Region-based Reinforcement Learning for Table UnderstandingFindings of the Association for Computational LinguisticsZhenhe Wu, Jian Yang, Zhongjiang He, et al.2026
13. TableVista: Benchmarking Multimodal Table Reasoning under Visual and Structural ComplexityFindings of the Association for Computational LinguisticsZheyuan Yang, Liqiang Shang, Junjie Chen, et al.2026
14. TrustTable: A Neuro-Symbolic Auditing Framework for Faithful Table QAAnnual Meeting of the Association for Computational Linguistics (ACL)Guangzhen Zhao, Dechang Kong, Tongyu Wu, et al.2026
15. When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing ErrorsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuqing Yang, Qi Zhu, Zhen Han, et al.2026

63 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/zhang-2023-tablellama-towards-open-large-generalist/cited-by/